A lot of Aimerce customers who have interacted with me over email about complicated problems have noticed that I am able to debug super efficiently and quickly.

Have you ever wondered how?

We’ve been testing this AI internally for the past 6 months. It’s been so powerful for debugging and analyzing complicated data problems. What used to take a team 1 week now only takes 10 minutes.

Amaze! Amaze! Amaze!

How does it work?

Most AI tools you currently use are just general Q&A, they have no knowledge of your store, your customers, or your campaigns. The best context is your own data: Shopify orders and sessions, Klaviyo email flows, Meta Ads Manager, Google Ads Manager, and Aimerce's raw event tracking.

With all that data as context, you effectively have a full-time analyst who can handle data analytics, debugging, monitoring, or even strategy, available 24/7.

Chat (Data Analytics & Debugging)

1.You can configure and chat directly in the Aimerce dashboard. You can connect Klaviyo, Meta, and Google inside the Aimerce dashboard and manage all your channel connections from one place.

2.You can also configure a Slack connection. This is what I find the most helpful. You can @mention the AI in any Slack channel and ask questions directly, no need to log into a dashboard.

1. Attribution

• Can you check where the today’s purchases are coming?

Yiqi’s thoughts: what I find impressive is in the last paragraph, where AI is pointing out that there are 12 orders that clicked on a Meta ad in the last 90 days but they were attributed because Meta only uses 7d click attribution window. This really helps understand long-term impact of Meta ads.

Here's the click/UTM attribution: 108 orders, $56,453.22 total. Of those: See more… Here's the click/UTM attribution: 108 orders, $56,453.22 total. Of those: See more…

• Can you pull purchases from 05/25 - 06/07 that comes from Meta ads campaign 12024672290253 and 12024591100253?

Yiqi’s thoughts: A lot of the brands don't know why Meta has certain number of attributions. You can just ask AI, and this solves all the problems.

Meta Purchase attribution, 05/25 → 06/07 (fbp-matched from Athena PageView landings → CloudWatch CAPI Purchase events): See more…

2. Debugging

• My conversion rate is down about 50% compared to last month. Can you take a look?

Yiqi’s thoughts: This is a very interesting use case. This brand has a conversion rate drop, and AI is able to solve that problem within like 10 minutes. They discovered it's a payments issue in the US.

“Meta Purchase attribution, 05/25 → 06/07 (fbp-matched from Athena PageView landings → CloudWatch CAPI Purchase events): See more…

• Is there any traffic from Pinterest in the last 7 day?

Yiqi’s thoughts: So this brand is not sure that if Pinterest is actually working. This data analytics tells you exactly how much and what is driven by Pinterest.

Headline: 631 Meta CAPI events (336 PageView + 295 ViewContent) with Pinterest signal, ~237 distinct users. 427 of them came from inside the Pinterest mobile app itself (UA Pinterest/iOS / Pinterest/Android).Daily volume (ramping up): See more…

• My revenue is down ~30% this week. Can you figure out why?

Yiqi's thoughts: This is the question every brand asks and the hardest one to answer. Normally an analyst pulls funnel data, then country data, then device data, then payment data, days of work. The AI slices every dimension at once and lands on the root cause in minutes.

Headline: Revenue this week $38,420 vs $54,890 last week (-30.0%). Orders 412 → 296. AOV is flat ($133 vs $130), so this is a conversion problem, not a basket-size problem. See more…

3. Data Analytics

• Check all the data sent to Meta in the last 24 hours

Meta event Total Hourly distribution (UTC) PageView 47 25/18:8, 25/19:3, 25/20:2, 25/22:2, 25/23:4, 26/00:6, 26/03:4, 26/08:10, 26/10:2, 26/13:4, 26/16:2 ViewContent 2 26/00:2 only

That's it — no AddToCart, no InitiateCheckout, no Purchase, no Lead. Just 47 PageView + 2 ViewContent, all from the browser pixel side.

Read on this:

Agents (Custom AI for recurring tasks)

What if you want recurring tasks to run hourly, daily, weekly, or monthly? Things like: "What's my daily attribution breakdown?" or "Is my pixel firing correctly?" You can now configure those recurring tasks directly through the AI, no engineering work required.

You can get the results in two formats.

1. Email Notification
2. Slack Message

Use Cases: Daily Signal Health Report → Slack

Set it up once in plain English: "Every morning at 8 am, check signal health for all my platforms, estimate any lost revenue, and post it to #marketing." The agent does the rest, no engineering work.

Other recurring reports brands have set up:

1. Weekly attribution breakdown by channel
2. Meta daily funnel snapshot vs 7d baseline
3. Monthly Meta window-comparison (7d-click vs 90d true impact)
4. Klaviyo Campaign Revenue Per Recipient Monitoring
5. Klaviyo Campaign Click Rate Monitor
6. Klaviyo Campaign Open Rate Monitor
7. Klaviyo Campaign Unsubscribe Rate Monitor
8. Klaviyo Flow Revenue Decline Monitor
9. Klaviyo Flow Open Rate Monitor
10. Klaviyo Flow Click Rate Monitor
11. Klaviyo List Growth Monitor

Beta Testing

We are opening up 50 Beta Testing slots to our existing Aimerce customers. We will give each of you 500 credits (~50 back&forth conversations using Claude model API), in exchanges for feedback, use cases, and bug reports.

If you are interested, just sent us an email and we will handle the rest for you.